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Data warehouse ⇄ Accounting and finance

BigQuery to Rillet integration — real-time, two-way sync

Keep BigQuery and Rillet in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect BigQuery and Rillet

Land the financial records from Rillet in BigQuery continuously, and write results back, without building or maintaining a pipeline.

Finance teams sync Rillet into BigQuery to extend accounting analysis beyond the ledger. Accounts, Invoices, and Bills replicate into BigQuery Tables, where they join revenue, product, and CRM data in a single Dataset for reporting.

Stacksync syncs Charge, Reimbursement, Custom Field, Account from Rillet into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery can be written back to fields in Rillet where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.

Common use cases

  • 01 Combine Rillet Invoices with usage data in BigQuery for revenue analysis.
  • 02 Track Vendor spend from Bills across periods in warehouse queries.
  • 03 Keep a queryable historical copy of Accounts and Credit Memos for audit and close review.
  • 04 Sync AR and collection status back to customer success tools ahead of renewals.

Common sync patterns

Ledger warehouse

Rillet Accounts and balances sync into a BigQuery Dataset for management reporting.

AR and AP visibility

Invoices, Credit Memos, and Bills land in partitioned BigQuery Tables for aging and cash analysis.

Entity reporting

Customers and Vendors replicate to clustered BigQuery Tables joined against operational data.

What you can sync between BigQuery and Rillet

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

BigQuery objects Rillet objects How this pairing syncs
Tables The syncable unit: only tables can be synced per the Stacksync docs. Credit Memo Synced with incremental and full sync per the Stacksync docs. Tables is specific to BigQuery and Credit Memo to Rillet — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Bill Synced with incremental and full sync per the Stacksync docs. Partitioned tables is specific to BigQuery and Bill to Rillet — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Journal Entry Synced with incremental and full sync per the Stacksync docs. Clustered tables is specific to BigQuery and Journal Entry to Rillet — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Invoice Payment Synced with incremental and full sync per the Stacksync docs. Datasets is specific to BigQuery and Invoice Payment to Rillet — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Charge Synced with incremental and full sync per the Stacksync docs. Projects is specific to BigQuery and Charge to Rillet — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Rillet

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

BigQuery Rillet Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Rillet through its API, with automatic retries and rate-limit backoff.

Rillet BigQuery Sub-second propagation

DetectionRillet pushes changes as they happen — webhook events backed by change data capture. Near real-time updates via change tracking.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Rillet: Subject to the platform's API rate limits.
What ships with BigQuery ⇄ Rillet

Connect BigQuery and Rillet for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Rillet connection.

Real-time

Two-way sync

Changes in BigQuery or Rillet instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Rillet data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Rillet record.

Observability

Monitoring

Track your BigQuery ⇄ Rillet sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Rillet.

How the BigQuery and Rillet connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Rillet

Integration surface
REST API (OpenAPI-specified, with production and sandbox environments)
Authentication
API key generated in Rillet (Organization Setting -> API Access); uncheck Read Only for bidirectional sync, check Read Only for one-way sync
Change detection
Near real-time updates via change tracking; incremental sync per object, with delete detection (some objects checked every 1h or 4h)
Capabilities
read · write · CDC · webhooks
Rate limits
Subject to the platform's API rate limits.
Rillet setup guide
How it works

How to connect BigQuery to Rillet — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate BigQuery and Rillet with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Rillet connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Rillet objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Rillet
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Rillet
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Rillet integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 463 integrations available for BigQuery and Rillet.

Popular · 6 of 463
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